Brian S Caffo

Professor
Departments of Biostatistics (primary)
Department of Biomedical Engineering (courtesy)
Johns Hopkins University
bcaffo@gmail.com
www.bcaffo.com
This CV is my attempt at making one that's easier to maintain, suggestions welcome github, https://github.com/bcaffo/cv
Note if viewing pdf or print version, graphs are interactive on the live version, https://bcaffo.github.io/cv/cvJupyter.html

Summary

Brian Caffo, PhD is a professor in the Department of Biostatistics with a secondary appointment in the Department of Biomedical Engineering at Johns Hopkins University. He graduated from the University of Florida Department of Statistics in 2001. He has worked in statistical computing, statistical modeling, computational statistics, multivariate and decomposition methods and statistics in neuroimaging and neuroscience. He led teams that won the ADHD 200 prediction competition. He co-directs the SMART statistical group. With other faculty at JHU, he created and co-directs the Coursera Data Science Specialization, a 10 course specialization on statistical data analysis. He co-directs the JHU Data Science Lab, a group dedicated to open educational innovation and data science. He is the former director of the Biostatistics graduate programs and admissions committees. He is currently the co-director of the Johns Hopkins High Performance Computing Exchange super computing service center and past-president of the Bloomberg School of Public Health faculty senate.

Education

Year Description Institution
2006 K25 training grant NIH A mentored training program in imaging science
2001 PhD in statistics U of Florida Candidate sampling schemes and some important applications
1998 MS in statistics U of Florida
1995 Dual BS in mathematics and statistics U of Florida

Professional experience

Year Title Place
2019 - Secondary Dept of Biomedical Engineering, JHU
2019 - Co-director Johns Hopkins High Performance Computing Exchange (JHPCE)
2016 - Faculty member Kavli Neuroscience Discovery Institute
2017 - Faculty member Malone Center for Engineering and Healthcare
2014 - Co-founding member Johns Hopkins Data Science Lab
2011 - Founding co-director SMART research group
2013 - Full professor Dept of Biostat,JHU
2007-2013 Associate professor Dept of Biostat,JHU
2001-2007 Assistant professor Dept of Biostat,JHU
1996-1999 Research assistant for professor Alan Agresti Department of Stat, UFL
1996, 1999 Intern / programmer the Pediatric Oncology Group Statistical Office

Profesional activities

Year Activity
2005-2006 Publications Officer for the Biometrics Section of the American Statistical Association
2010 Founding member Stat in Imaging ASA Section
2010-2011 Secretary Stat in Imaging ASA Section
2006-2008 Associate editor Computational Statistics and Data Analysis
2008-2010 Associate editor for the Journal of the American Statistical Association
2009-2012 Associate editor for the Journal of the Royal Statistical Society Series B
2010-2012 Associate editor for Biometrics
Senior program committee member for the Fourteenth International Conference on Artificial Intelligence and Statistics
Guest associate editor for Frontiers in Neuroscience special issues on Brain Imaging Methods and Explainable Artificial Intelligence in Healthcare and Finance

Also, I try to do at least 1 or 2 NIH, EU, NSF ... review panels a year and a JSM or ENAR sessions.

Honors and awards

Year Award
1998 William S. Mendenhall Award
1999 Anderson Scholar/Faculty nominee for the University of Florida CLAS
2001 University of Florida CLAS Dissertation Fellowship
2001 University of Florida Statistics Faculty Award
2002 Johns Hopkins Faculty Innovation Award
2006 Johns Hopkins Bloomberg School of Public Health AMTRA award
2008 Johns Hopkins Bloomberg School of Public Health Golden Apple teaching award
2011 Leader and organizer of the declared winning entry of the 2011 ADHD200 prediction competition
2011 Presidential Early Career Award for Scientists and Engineers (PECASE, 2010, awarded in 2011); The highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers
2014 Named a Fellow of the American Statistical Association
2015 Special Invited Lecturer, European Meeting of Statisticians

Publications

Publications reported in Scopus as of 01/04/2021. My total number of Scopus publications is 228. Below is a plot of total publications by year. Hover data includes title, journal and citations.

Here are journals I publish in the most. Some of my favorite journals that I have published in less are JRSSA (1), JRSSB (2), JRSSC (1), Biometrika (1), IEEE TMI (1), JCGS (3), AJE (2), Brain (2), Biometrics (4), American Statistician (5), and Neuroimage Clinical (2).

I have published with 625 coauthors. Here is authors that I have had 10 or over manuscripts with.

Here's a wordcloud of words in the titles (excluding common use words, in the shape of an axial brain slice).

Wordcloud

Here's the total citation counts of manuscripts plotted by year of publication. Hover over a point to see publication details.

Part II

Advisees

Year(s) Degree Advisee Place Title Notes
2005 PhD Leena Choi JHU Biostat Modelling biomedical data and the foundations of bioequivalence
2006 ScM Lijuan Deng JHU Biostat Spline-based curve fitting with applications to kinetic imaging
2006 MS Bruce Swihart University of Colorado Biostatistics Quantitative characterization of sleep architecture using multi- state and log-linear models jointly advised with Naresh Punjabi and Gary Grunwald
2007 MPH Jeong Yun JHU BSPH Incidence of hypertension in high risk groups of the Sleep Heart Health Study
2008 PhD Xianbin Li JHU Biostat Modeling composite outcomes and their component parts
2008 PhD Shu-Chih Su JHU Biostat Structure/function relationships in the analysis of anatomical and functional neuroimaging data
2010 ScM John Muschelli JHU Biostat An iterative approach to hemodynamic response function temporal derivatives in statistical parametric mapping for functional neuroimaging
2011 PhD Haley Hedlin JHU Biostat Statistical methods for inter-subject analysis of neuroscience data
2011 PhD Bruce Swihart JHU Biostat From individuals to populations: application and insights concerning the generalized linear mixed model
2012 PhD Jeff Goldsmith JHU Biostat Cross-Sectional and longitudinal penalized functional regression co-advised with primary advisor Ciprian Crainiceanu
2012 MPH Tiziano Marovino JHU BSPH The concurrent validity of musculo-skeletal ultrasound imaging in comparison to MRI for detecting rotator cuff tears in the shoulder when performed in a physical therapy setting
2013 ScM Rawan Al-Lozi JHU Biostat An evaluation of statistical modeling methods for predicting recovery time from post-traumatic amnesia following moderate or severe traumatic brain injury in children
2013 PhD Shanshan Li JHU Biostat Statistical Methods for Evaluating Diagnostic Accuracy of Biomarkers co-advised with primary advisor Mei-Cheng Wang
2013 MHS Xiaoqiang Xu JHU Biostat Parallel Voxel Level Anything
2015 PhD Juemin Yang JHU Biostat Statistical Methods for Brain Imaging and Genomic Data Analysis
2015 PhD Shaojie Chen JHU Biostat Statistical Methods to Analyze Massive High-Dimensional Neuroimaging Data
2015 PhD Fang Han JHU Biostat Large-scale nonparametric and semiparametric inference for large complex and noisy datasets Co-advised with Han Liu
2016 PhD Chen Yue JHU Biostat Generalizations, extensions and applications for principal component analysis co-advised with Vadim Zipunnikov
2016 PhD Amanda Mejia JHU Biostat Statistical Methods for Functional Magnetic Resonance Imaging Data co-advised with primary advisor Martin Lindquist
2016 PhD Aaron Fisher JHU Biostat Methods for High Dimensional Analysis, Multiple Testing, and Visual Exploration co-advised with primary advisor Vadim Zipunnikov
2016 PhD Huitong Qiu JHU Biostat Statistical Methods and Theory for Analyzing High Dimensional Time Series
2020 PhD Zeyi Wang JHU Biostat Statistical Analysis of Functional Connectivity in Brain Imaging: Measurement Reliability and Clinical Applications co-advised with Joshua Vogelstein
2020 MSE Luchao Qi JHU BME Associations between Body Mass Index (BMI) and Physical Activity: National Health and Nutritional Examination Survey (NHANES) 2005-2006
2021 PhD Bingkai Wang JHU Biostat Statistical Methods for Analyzing Randomized Trials and Brain Imaging Data co-advised with primary advisor Michael Rosenblum
PhD Huan Chen JHU Biostat In progress
PhD Bohao Tang JHU Biostat In progress
PhD Eric Bridgeford JHU Biostat In progress Co advised with primary advisor Joshua Vogelstein
2009-2012 Post doc Vadim Zipunnikov JHU Biostat co-advising with primary advisor Ciprian Crainiceanu
2010-2013 Post doc Ani Eloyan JHU Biostat co-advising with Ciprian Crainiceanu
2011-2013 Post doc Seonjoo Lee Henry Ford co-advising with primary advisor Dzung Pham
2017-2020 Post doc Yi Zhao JHU Biostat co-advising with Stewart Mostofsky and Martin Lindquist
2017-2020 Post doc Heather Shappell JHU Biostat co-advising with Jim Pekar and primary advisor Martin Lindquist

Student exam participation

Classroom Instruction

To the nearest year. Data Science and EDS specializations were with Roger Peng and Jeff Leek. Hover over to see instructor role and other info.

E-books
Other

Research grants

Hover data includes, granting organization, mechanism and title.

Co-investigator and subcontract awards

Biostatisticians wind up being Co-Is on a large number of grants. Please contact the JHU Department of Biostat for Co-I information.

JHU major academic service

Here's my major service roles by year rounded to the nearest year by the major organizational group that it represents. Also, I serve on ad hoc tenure and promotion committees whenever asked (not that often, maybe once every other year or so).

Seminars

Here's a plot of the invited seminars I've logged. The list with presentation files can be found here.

Here's wordclouds of seminar titles and seminar places.

Wordcloud Wordcloud

CV todo